Job Summary

Job Description

About RBCx

RBCx pursues big, bold ideas and leverages RBC’s extensive experience, networks, and capital to help shape what’s next. Our four pillars – Banking, Capital, Platform, and Ventures – combine to support tech businesses of all sizes and stages, making us the go-to backer of Canadian innovation. Our people are our most valuable assets, so we invest deeply in ensuring RBCx isn’t just a place to work but a place to belong.

About Ownr

At Ownr, we have helped thousands of Canadians establish their businesses. As we redefine the entrepreneurship landscape, we take pride in simplifying what it takes to be a business owner. We're on a mission to become the leading platform for entrepreneurship in Canada, and it takes an entire team to build something big. So join our team and discover how we can help entrepreneurs realize their dreams.

We are seeking a talented and enthusiastic Data | ML Engineer to join our team. In this role, you will primarily focus on data engineering tasks while also contributing to machine learning projects in collaboration with the analytics and the tech  team. The ideal candidate is a developer with a strong interest in machine learning who is passionate about leveraging data to drive insights and innovation.

What is in it for you?

Design, build, and maintain scalable data pipelines and infrastructure to support BAU data needs for analytics and reporting as well as machine learning projects.

Collaborate with cross-functional teams to understand data requirements and develop solutions to enable data-driven decision-making.

Design and implement the infrastructure to preprocess, and transform data from various sources to ensure quality and consistency for analysis, reporting as well as feature engineering & modeling.

Implement best practices for data governance, security, retention and disposal along with other enterprise and regulatory compliance requirements.

Develop and deploy machine learning models for predictive analytics, propensity modeling, anomaly detection, and optimization.

Stay updated on emerging technologies and industry trends in data engineering and machine learning.

Mentor junior team members and contribute to knowledge sharing within the organization.

What would you need?

Must Haves

Proven experience in data engineering, including designing and optimizing data pipelines, db schemas, ETL processes, and data warehousing.

Proficiency in programming languages such as Python, and experience with SQL and NoSQL databases.

Familiarity with cloud platforms (AWS) and big data technologies (Hadoop, Spark) and Airflow

Strong understanding of software engineering principles and best practices for building scalable, maintainable, and performant systems.

Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) and knowledge of different ML models and algorithms.

Nice to Have: 

Advanced degree (Master's or PhD) in Software Engineering, Computer Science, Statistics, or related field.

Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools.

Knowledge of distributed computing and parallel processing techniques.

Experience with DevOps practices and CI/CD pipelines (e.g. Terraform).

Contributions to open-source projects or participation in relevant communities.

Experience working with entrepreneurs 

What’s in it for you?  

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits and competitive compensation

Leaders who support your development through coaching and managing opportunities

Work in a dynamic, collaborative, progressive, and high-performing team

Opportunities to do challenging work

#LI-POST

#LI-SP

#LI-RBCx

Job Skills

Big Data, Big Data Management, Big Data Technologies, Critical Thinking, Data Administration, Data Engineering, Data Governance, Data Movement, Data Pipelines, Data Warehousing (DW), Information Capture, Knowledge Organization, Long Term Planning, Machine Learning, Python (Programming Language), Repository Tools

Additional Job Details

Address:

20 KING ST W:TORONTO

City:

TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

PERSONAL & COMMERCIAL BANKING

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-02-07

Application Deadline:

2025-02-22

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
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We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.